Adaptive Network Management for Countering Selective Capture in Wireless Sensor Networks. Authors : Hamid Al- Hamadi and Ing -Ray Chen. Paper Presentation By : Gaurav Dixit ([email protected]). Critical node (selective) capture near base station. The Problem. The Problem. The Problem. - PowerPoint PPT Presentation
Slide 1
Paper Presentation By : Gaurav Dixit ([email protected])Adaptive
Network Management for Countering Selective Capture in Wireless
Sensor NetworksAuthors: Hamid Al-Hamadi and Ing-Ray ChenThe
Problem
Critical node (selective) capture near base stationThe
Problem
The Problem
The Problem
No access to base stationThe Solution Proposed
Dynamic radio adjustmentMultisource multipathVoting-based
intrusion detectionDynamic radio adjustment
Dynamic radio adjustment
SNs increases radio range dynamically to connect to n0 1-hop
neighborsDynamic radio adjustment
Multisource multipath
Event Occurred
Multisource multipath
Event Occurred
Multisource multipath
It would consume more energyIt would be more robustWhat is best
redundancy level?
Voting-based intrusion detection
Evict compromised nodeshost IDS run on SN to conserve energyEach
node monitors neighbors only.False positives, false
negatives.Design parameters
ms - source redundancymp - path redundancy m number of
votersTIDS the intrusion detection intervalOutput: MTTF
Maximize MTTF by tuning design parameters.Rq (tQ,j ) probability
of successful response to query j
Output
Max queries, Nq before system diesFirst term says system fails
on query i+1increasing bad nodes..
(if capture time is exponentially distributed)number of good and
bad nodes
number of forwarding neighbors (f =1/4, geographical routing)
is(Voting) false positives..
more than half of voting nodes badselecting m neighbor nodesGood
nodes give bad decisions due to host false positive
probabilityRe-adjusting good/bad node densities
Thus, possibility of a bad at dist x from BS isThe Success
Probability
This is success probability of a path from SNj to BS.Failure
probability
Failure probability with multiple source and multipath :Failure
probability with multipath :Energy!
Black ring consumes more energyMultipath, multisource , frequent
IDS consumes energyEnergy!
No. of IDS cycle before SN energy exhaustionEnergy consumed by
SN at x for processing ith query:Transmit nb bits :Receive nb bits
:Energy!
Number of SNs within range of SNs at distance x :Energy spent by
a SN located at x in i-th IDS cycle.
Adaptive network
On TD timer event:BS determines design parameters, and notifies
SNs of new TIDS and m.SNs update new settings.
Performance
-- once in 4 weeks--once in 12 hrs to 3 daysn0 = 7
Optimal (mp , ms ) values to counter selective capturing
(m=3):High detection in High Attack strength
Low detection in High Attack strength
Effect of varying TIDS
MTTF comparison with Attack strength
Density of Good SNs at distance X vs. Time
MTTF comparison with Attack strength
Conclusion
Three ways studied to counter selective capture of sensor
nodes.Proved experimentally that there exist an optimum value for
multiple paths and multiple sources. Studied the trade-off between
energy expense and robustness of WSN, thus extending usable
lifetime of WSN.
Thank you!
